In accordance with the present invention, an interactive education application is provided. The application receives preferences from the user and retrieves media assets, where the application assembles the media assets and other content into a personalized lesson. In addition, the application provides messaging features between the user and other users relating to the personalized lesson.
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1. A computer implemented method for generating music lessons, the method comprising: receiving, by the computer from a user, preferences associated with a music lesson, wherein the preferences include: a music style or a music genre, an educational level, information relating to previous instruction, information relating to a musical instrument, and an educational goal; receiving, by the computer from the user, at least one recorded video or audio music clip of a first music performance by the user or a first sample of the user's techniques and skill level to be evaluated; transmitting, by the computer, to an instructor the received preferences associated with the music lesson for assessment to the music lesson and the at least one recorded video or audio music clip; receiving, by the computer, from the instructor the assessment to the music lesson responsive to the received preferences and the at least one recorded video or audio music clip; determining, by the computer, a first subset of media assets to retrieve from a plurality of media assets based on the received preferences and the assessment from the instructor, wherein each media asset comprises a full functioning music education experience including: a lesson plan, a video clip or an audio clip, text, an educational chart, music notation, a first music tablature including a first lesson to practice a particular technique from the music lesson or to play a particular song that uses the particular technique from the music lesson and sheet music; retrieving the first subset of media assets from a database while simultaneously transmitting a message to the user relating to the generation of the music lesson and the first subset of media assets; compiling the first subset of media assets into a personalized music lesson, wherein the compiling further comprises inserting a plurality of the first subset of media assets into the lesson plan, thereby generating the personalized music lesson; transmitting the personalized music lesson to the user; detecting whether the user is progressing with the personalized music lesson; when said detecting determines that the user has not progressed, automatically compiling a revised personalized music lesson without interaction from the user; automatically retrieving a second subset of media assets from the database in response to receiving at least an indication from the user, while simultaneously transmitting an update message to the user relating to the generation of a subsequent music lesson; compiling the second subset of media assets into a subsequent personalized music lesson, wherein the compiling further comprises replacing a plurality of the first subset of media assets with the second subset of media assets in the lesson plan, thereby generating the subsequent personalized music lesson; and transmitting the subsequent personalized music lesson to the user.
A computer system creates personalized music lessons. It receives user preferences such as music style, skill level, instrument, and goals. The system also gets a user-submitted video or audio clip of their playing for assessment. These preferences and the user's clip are sent to an instructor for evaluation. Based on the preferences and instructor assessment, the system selects media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) from a database. The system assembles these assets into a personalized music lesson and delivers it to the user, displaying progress updates. If the system detects that the user isn't progressing, it automatically creates a revised lesson without the user needing to ask. The system will also get an indication from the user to trigger a subsequent lesson.
2. The method of claim 1 , further comprising: receiving an indication that the user has changed the preferences; and retrieving one or more media assets that replace or supplement previously retrieved media assets responsive to the user changing the preferences.
Building on the previous description of a system that creates personalized music lessons, the system can also update the lesson content if the user changes their preferences. Specifically, if the user changes the preferences such as music style, skill level, instrument, and goals and based on these changes, the system will retrieve new media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) to replace or add to the assets that are already part of the personalized lesson. This allows the lesson to adapt to the user's evolving interests and learning path.
3. The method of claim 1 , wherein said detecting whether the user is progressing further comprises determining that the user has not requested another music lesson when the user has purchased at least one of a subscription or a package of lessons; and wherein said method further comprises in response to said determining that the user has not requested another music lesson, automatically compiling the revised personalized music lesson without interaction from the user.
Expanding on the previous system for generating music lessons, which creates personalized music lessons and delivers it to the user displaying progress updates, the system also detects if a user isn't progressing by checking if they've requested another lesson, especially if they've paid for a subscription or a package of lessons. If the user hasn't requested another lesson, the system automatically compiles a revised personalized music lesson without the user needing to do anything. The media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) are automatically updated based on this determination.
4. The method of claim 1 , further comprising: enabling the user to transmit a recorded music clip to the instructor for critique or evaluation; enabling the user to transmit a message to a lesson designer regarding the personalized music lesson; enabling the lesson designer to adjust the rules used to select the media assets for creating personalized music lessons; and enabling the user to provide feedback to communicate with other users, including instructors and lesson designers, and to inform whether the user is progressing or having difficulty with a particular music lesson.
In addition to the functionality for creating personalized music lessons and getting user preferences such as music style, skill level, instrument, and goals, the system enables communication and feedback. Users can send recorded music clips to instructors for critique, send messages to lesson designers about the lessons, and provide feedback to other users (instructors, designers). Lesson designers can also adjust the rules the system uses to pick media assets. This allows for collaborative improvement of lessons and helps the user communicate if they are progressing.
5. The method of claim 1 , further comprises retrieving the second subset of media assets responsive to a predetermined time or receiving an indication from the instructor, thereby generating the subsequent personalized music lesson.
Expanding on the system for generating music lessons, which creates personalized music lessons and delivers it to the user displaying progress updates, the system automatically gets media assets to create a new personalized lesson in one of two ways: after a certain amount of time passes or when the instructor tells the system to do so. The media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) are then compiled into a new, personalized music lesson for the user.
6. The method of claim 5 , further comprising: enabling the user to transmit a recorded music clip to the instructor for critique or evaluation; enabling the user to transmit a message to a lesson designer regarding the personalized music lesson; enabling the lesson designer to adjust the rules used to select the media assets for creating personalized music lessons; and enabling the user to provide feedback to communicate with other users, including instructors and lesson designers, and to inform whether the user is progressing or having difficulty with a particular music lesson.
Expanding on the system for generating music lessons, which automatically gets media assets to create a new personalized lesson after a certain amount of time passes or when the instructor tells the system to do so, the system enables communication and feedback. Users can send recorded music clips to instructors for critique, send messages to lesson designers about the lessons, and provide feedback to other users (instructors, designers). Lesson designers can also adjust the rules the system uses to pick media assets. This allows for collaborative improvement of lessons and helps the user communicate if they are progressing.
7. The method of claim 6 , wherein said detecting whether the user is progressing further comprises determining that the user has not requested another music lesson when the user has purchased at least one of a subscription or a package of lessons; and wherein said method further comprises in response to said determining that the user has not requested another music lesson, automatically compiling the revised personalized music lesson without interaction from the user.
Combining the features of the system for generating music lessons, which automatically gets media assets to create a new personalized lesson after a certain amount of time passes or when the instructor tells the system to do so with enabling communication and feedback; the system also detects if a user isn't progressing by checking if they've requested another lesson, especially if they've paid for a subscription or a package of lessons. If the user hasn't requested another lesson, the system automatically compiles a revised personalized music lesson without the user needing to do anything. The media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) are automatically updated based on this determination.
8. The method of claim 1 , wherein receiving preferences further comprises receiving information relating to previous instruction including type of instruction, number of years of instruction, a self-assessment for the level of play; instruments the user has previously played; level of difficulty of songs that the user has played; and particular techniques that the user has mastered.
In the system for creating personalized music lessons, the user preferences include detailed information about the user's musical background. Specifically, this includes the type of music instruction they've had, how many years they've been learning, how they would rate their own playing skill, what instruments they've played before, the difficulty of songs they've played, and the specific techniques they have mastered. This detailed information helps the system find the best media assets (lesson plans, video/audio clips, text, charts, music notation, tablature, sheet music) to create a personalized music lesson.
Cooperative Patent Classification codes for this invention. Click any code to explore related patents in that topic.
November 27, 2007
August 20, 2013
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